According to William S. Cleveland dotplots are an alternative to the bar chart, in which dots are used to depict the quantitative values (e.g. counts) associated with categorical variables.
<!-- Include the CanvasXpress library in your HTML file -->
<link rel="stylesheet" href="https://www.canvasxpress.org/dist/canvasXpress.css" type="text/css"/>
<script src="https://www.canvasxpress.org/canvasXpress.min.js"></script>
<!-- Create a canvas element for the chart with the desired dimensions -->
<div>
<canvas id="canvasId" width="600" height="600"</canvas>
</div>
<!-- Create a script to initialize the chart -->
<script>
<!-- Create the data for the graph -->
var data = {
"x" : {
"dose" : ["0.5","0.5","0.5","0.5","0.5","0.5","0.5","0.5","0.5","0.5","1","1","1","1","1","1","1","1","1","1","2","2","2","2","2","2","2","2","2","2","0.5","0.5","0.5","0.5","0.5","0.5","0.5","0.5","0.5","0.5","1","1","1","1","1","1","1","1","1","1","2","2","2","2","2","2","2","2","2","2"],
"order" : [1,2,3,4,5,6,7,8,9,10,1,2,3,4,5,6,7,8,9,10,1,2,3,4,5,6,7,8,9,10,1,2,3,4,5,6,7,8,9,10,1,2,3,4,5,6,7,8,9,10,1,2,3,4,5,6,7,8,9,10],
"supp" : ["VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ"]
},
"y" : {
"data" : [
[4.2,11.5,7.3,5.8,6.4,10,11.2,11.2,5.2,7,16.5,16.5,15.2,17.3,22.5,17.3,13.6,14.5,18.8,15.5,23.6,18.5,33.9,25.5,26.4,32.5,26.7,21.5,23.3,29.5,15.2,21.5,17.6,9.7,14.5,10,8.2,9.4,16.5,9.7,19.7,23.3,23.6,26.4,20,25.2,25.8,21.2,14.5,27.3,25.5,26.4,22.4,24.5,24.8,30.9,26.4,27.3,29.4,23]
],
"smps" : ["Var1","Var2","Var3","Var4","Var5","Var6","Var7","Var8","Var9","Var10","Var11","Var12","Var13","Var14","Var15","Var16","Var17","Var18","Var19","Var20","Var21","Var22","Var23","Var24","Var25","Var26","Var27","Var28","Var29","Var30","Var31","Var32","Var33","Var34","Var35","Var36","Var37","Var38","Var39","Var40","Var41","Var42","Var43","Var44","Var45","Var46","Var47","Var48","Var49","Var50","Var51","Var52","Var53","Var54","Var55","Var56","Var57","Var58","Var59","Var60"],
"vars" : ["len"]
}
}
<-- Create the configuration for the graph -->
var config = {
"axisAlgorithm":"rPretty",
"axisTickScaleFontFactor":1.8,
"axisTitleFontStyle":"bold",
"axisTitleScaleFontFactor":1.8,
"binned":"true",
"errorBarsColor":"red",
"errorBarsType":"standardDeviation",
"graphOrientation":"vertical",
"graphType":"Dotplot",
"groupingFactors":[
"dose"
],
"jitter":"false",
"showLegend":"false",
"smpLabelRotate":"90",
"smpLabelScaleFontFactor":1.8,
"smpTitle":"dose",
"smpTitleFontStyle":"bold",
"smpTitleScaleFontFactor":1.8,
"theme":"CanvasXpress",
"title":"The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
"xAxis2Show":"false",
"xAxisTicksMinorShow":"false",
"xAxisTitle":"len"
}
<!-- Call the CanvasXpress function to create the graph -->
var cX = new CanvasXpress("canvasId", data, config);
</script>
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTickScaleFontFactor=1.8,
axisTitleFontStyle="bold",
axisTitleScaleFontFactor=1.8,
binned=TRUE,
errorBarsColor="red",
errorBarsType="standardDeviation",
graphOrientation="vertical",
graphType="Dotplot",
groupingFactors=list("dose"),
jitter=FALSE,
showLegend=FALSE,
smpLabelRotate=90,
smpLabelScaleFontFactor=1.8,
smpTitle="dose",
smpTitleFontStyle="bold",
smpTitleScaleFontFactor=1.8,
theme="CanvasXpress",
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis2Show=FALSE,
xAxisTicksMinorShow=FALSE,
xAxisTitle="len"
)
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